This paper investigates how the structural properties of controlled vocabularies like the Art and Architecture Thesaurus impact the performance of vision-language models like CLIP for content-based im…

GLAM-SLAM is a real-time, decoupled Gaussian-splatting SLAM system for large-scale outdoor scenes with a robust feature-based frontend and structured sparse mapping representation.

This paper presents methods for ranking and unranking permutations avoiding a pattern of length three in lexicographic or colexicographic order.

This paper proposes TileLens, a system to mitigate read amplification in Large-Granularity Memory Systems (LGMS) for Large Language Model (LLM) inference by adopting a tile-major layout.

The paper proposes GC-MoE, a novel framework that uses a Mixture-of-Experts approach guided by genomics to accurately predict cell-type-specific gene expression for individual cells from histopatholog…

The paper presents a new semantics for choreographies and a preorder relation to prove the Endpoint Projection Theorem in a modular and simpler way.

The paper introduces a U-Net deep learning surrogate model to accelerate Quality-Diversity optimization for urban layout design, demonstrating that this spatial approach enables highly accurate climat…

This pilot study evaluates curator-guided multilingual art description using a small, on-premise VLM (Qwen2.5-VL-3B-Instruct) for German, Romanian, and Serbian, finding that language-specific adapters…

The paper introduces TECCI, a novel and challenging benchmark dataset of 7550 image-edit pairs, and demonstrates that current state-of-the-art text-guided image editing models struggle significantly w…

This paper studies the complexity of the Flood-It game on various graph classes and provides polynomial-time algorithms for Free Flood-It on graphs free of certain jewels, while proving NP-completenes…

Loom is a system for analyzing spatial transcriptomics data through detailed pseudo-temporal exploration, cross-sample comparisons, and investigation of spatiotemporal biological mechanisms.

HighTide is an evolving, AI-assisted, open-source benchmark suite for VLSI design, providing a comprehensive and scalable platform for hardware development.

This paper investigates a novel threat model for Hardware Trojan (HT) insertion in standard cells, converting clean standard cell libraries into malicious ones, and demonstrates the efficacy and steal…

The paper presents a solution to enable multiple double arithmetic on NVIDIA A100 tensor cores, which are unsuited for branching operations caused by renormalization.

A fully automated, calibration-free pipeline is presented to align 2D hyperspectral information with the 3D shape of ex-vivo lumpectomy specimens using consumer-camera RGB images and a single top-down…